Data Science Leadership Development Program (DSLDP) Intern

Travelers • Hartford, CT

11h • $35 - $45 • Onsite

About The Position

The goal of the Data Science Leadership Development Program (DSLDP) internship is to attract and develop self-motivated individuals who are highly skilled and passionate about a career in data science while providing a foundation for future success within the organization. As a DSLDP intern, you will be exposed to a challenging professional work experience in data science with planned activities giving you insight into the community at Travelers, and the many ways we solve business problems using cutting edge statistical and analytical techniques. You will assist to design, develop and program methods, processes, and systems to consolidate and analyze unstructured and structured, diverse data sources to generate actionable insights and solutions for client services and product enhancement. With many company-wide events such as Intern Symposium and community outreach events, you will have the opportunity to interact and network with many levels of leadership and management. You will be expected to work together with fellow interns to develop and present solutions to relevant business and data science topics. The intent of this position is to provide our internal employees, 2026 Travelers Summer Interns and Summer Students the ability to apply to our 2027 Full-time or Intern opportunities. Applications outside of this audience will not be considered at this time. However, for additional positions posted at a later date, we encourage anyone who was not an internal employee, Summer Intern or Summer Student between June 2026–August 2026 to apply at that time. Housing - The Internship program is based in Hartford, CT and St. Paul, MN. Positions are available in our Business Units and Corporate Departments. Subsidized apartments are available for students who live beyond a commutable distance from Hartford, CT or St. Paul, MN. Positions are available early June through the end of the summer.

Requirements

• Pursuing a Master’s or PhD level degree in Statistics, Mathematics, or Data Science.
• Applied statistical knowledge and experience solving “real-world” problems.
• Demonstrated ability to communicate technical concepts to a non-technical audience.
• Experience with a programming language (Python, R, SAS, etc).
• Accountability: Strong track record of taking ownership and responsibility for actions and outcomes, performance, and results.
• Analytical and Critical Thinking: Demonstrated aptitude in identifying current or future problems or opportunities, analyzing data, synthesizing and comparing information to understand issues, identifying cause/effect relationships and exploring alternative solutions to support sound decision making.
• Change Management/Resilience: Ability to remain energized and focused in the face of ambiguity, change or strenuous demands.
• Customer Focus: Proven customer service skills with the ability to provide service excellence to internal or external clients.
• Emotional Intelligence: Demonstrated track record of self and social awareness, empathy and balances confidence with humility.
• Interpersonal: Excellent communication skills with the ability to actively engage with others while maintaining a positive attitude.
• Judgment/Decision Making: Capability of exercising sound judgment, making decisions and committing to a position.
• Leveraging Differences: Proven capacity to works with and include people from different backgrounds, experiences, cultures, races, etc. and view those differences as assets to be leveraged to accomplish business goals and objectives.
• Relationship Management: Strong relationship management skills including the ability to seek out, build, foster and maintain productive relationships, networks or alliances to meet goals and achieve results.
• Teamwork: Ability to work together in situations when actions are interdependent, and a team is mutually responsible to produce a result.
• Work Ethic: Possession of a strong drive to do what it takes to get the job done; inquisitive and demonstrates a strong willingness to learn.
• Pursuing a Master’s or PhD level degree in Statistics, Mathematics, Decision Sciences, Actuarial Science, or a related analytical STEM field.

Responsibilities

• Providing recommendations on projects that deal with data science related concepts
• Designing and building statistical models, analyses at the right level of complexity to produce relevant results for the business
• Identifying, integrating and structuring complex data flows
• Identifying new opportunities for analytic solutions
• Validate, manipulate and perform data analysis tasks
• Provide qualitative and quantitative data support to ensure accuracy of metrics
• Perform other duties as assigned

Benefits

• performance-based cash incentive awards
• Subsidized apartments are available for students who live beyond a commutable distance from Hartford, CT or St. Paul, MN.
• coverage from the first day of employment

What This Job Offers

• Job Type: Full-time
• Career Level: Intern